Difference between revisions of "10-601B Model Selection"

From Cohen Courses
Jump to navigationJump to search
(Created page with "This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016 === Slides === * [http://curtis.ml.cmu.edu/w/courses/images/1/1e/Sample-complexity3-post....")
 
 
(One intermediate revision by the same user not shown)
Line 12: Line 12:
 
=== What you should remember ===
 
=== What you should remember ===
  
* The notion of sample complexity.
+
* Model Selection
* Shattering.
+
* Structural Risk Minimization
* VC dimension as measure of complexity.
 
* Sauer’s lemma.
 
* Form of the VC bounds.
 

Latest revision as of 20:53, 26 February 2016

This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016

Slides

Readings

  • Mitchell Chapter 7

What you should remember

  • Model Selection
  • Structural Risk Minimization